Matches in SemOpenAlex for { <https://semopenalex.org/work/W3170266457> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W3170266457 abstract "Characterizing the fundamental parameters of stars from observations is crucial for studying the stars themselves, their planets, and the galaxy as a whole. Stellar evolution theory predicting the properties of stars as a function of stellar age and mass enables translating observables into physical stellar parameters by fitting the observed data to synthetic isochrones. However, the complexity of overlapping evolutionary tracks often makes this task numerically challenging, and with a precision that can be highly variable, depending on the area of the parameter space the observation lies in. This work presents StelNet, a Deep Neural Network trained on stellar evolutionary tracks that quickly and accurately predicts mass and age from absolute luminosity and effective temperature for stars with close to solar metallicity. The underlying model makes no assumption on the evolutionary stage and includes the pre-main sequence phase. We use bootstrapping and train many models to quantify the uncertainty of the model. To break the model's intrinsic degeneracy resulting from overlapping evolutionary paths, we also built a hierarchical model that retrieves realistic posterior probability distributions of the stellar mass and age. We further test and train StelNet using a sample of stars with well-determined masses and ages from the literature." @default.
- W3170266457 created "2021-06-22" @default.
- W3170266457 creator A5011315981 @default.
- W3170266457 creator A5020090078 @default.
- W3170266457 creator A5030946360 @default.
- W3170266457 creator A5053623326 @default.
- W3170266457 creator A5077599193 @default.
- W3170266457 date "2021-06-14" @default.
- W3170266457 modified "2023-09-26" @default.
- W3170266457 title "StelNet: Hierarchical Neural Network for Automatic Inference in Stellar Characterization" @default.
- W3170266457 cites W1840847274 @default.
- W3170266457 cites W2767449908 @default.
- W3170266457 cites W2950177356 @default.
- W3170266457 cites W2952300048 @default.
- W3170266457 cites W2952816888 @default.
- W3170266457 cites W2964059111 @default.
- W3170266457 cites W2977983631 @default.
- W3170266457 cites W3008163406 @default.
- W3170266457 cites W3037766264 @default.
- W3170266457 cites W3097842487 @default.
- W3170266457 cites W2949864461 @default.
- W3170266457 hasPublicationYear "2021" @default.
- W3170266457 type Work @default.
- W3170266457 sameAs 3170266457 @default.
- W3170266457 citedByCount "0" @default.
- W3170266457 crossrefType "posted-content" @default.
- W3170266457 hasAuthorship W3170266457A5011315981 @default.
- W3170266457 hasAuthorship W3170266457A5020090078 @default.
- W3170266457 hasAuthorship W3170266457A5030946360 @default.
- W3170266457 hasAuthorship W3170266457A5053623326 @default.
- W3170266457 hasAuthorship W3170266457A5077599193 @default.
- W3170266457 hasConcept C110472602 @default.
- W3170266457 hasConcept C121332964 @default.
- W3170266457 hasConcept C150846664 @default.
- W3170266457 hasConcept C154945302 @default.
- W3170266457 hasConcept C2777727622 @default.
- W3170266457 hasConcept C41008148 @default.
- W3170266457 hasConcept C44870925 @default.
- W3170266457 hasConcept C50644808 @default.
- W3170266457 hasConcept C60644358 @default.
- W3170266457 hasConcept C86803240 @default.
- W3170266457 hasConcept C99465377 @default.
- W3170266457 hasConceptScore W3170266457C110472602 @default.
- W3170266457 hasConceptScore W3170266457C121332964 @default.
- W3170266457 hasConceptScore W3170266457C150846664 @default.
- W3170266457 hasConceptScore W3170266457C154945302 @default.
- W3170266457 hasConceptScore W3170266457C2777727622 @default.
- W3170266457 hasConceptScore W3170266457C41008148 @default.
- W3170266457 hasConceptScore W3170266457C44870925 @default.
- W3170266457 hasConceptScore W3170266457C50644808 @default.
- W3170266457 hasConceptScore W3170266457C60644358 @default.
- W3170266457 hasConceptScore W3170266457C86803240 @default.
- W3170266457 hasConceptScore W3170266457C99465377 @default.
- W3170266457 hasOpenAccess W3170266457 @default.
- W3170266457 hasRelatedWork W1543996771 @default.
- W3170266457 hasRelatedWork W1631430068 @default.
- W3170266457 hasRelatedWork W1773558392 @default.
- W3170266457 hasRelatedWork W2049699905 @default.
- W3170266457 hasRelatedWork W2106382808 @default.
- W3170266457 hasRelatedWork W2131959026 @default.
- W3170266457 hasRelatedWork W2142155879 @default.
- W3170266457 hasRelatedWork W2345502289 @default.
- W3170266457 hasRelatedWork W2488669629 @default.
- W3170266457 hasRelatedWork W2512457384 @default.
- W3170266457 hasRelatedWork W2778633116 @default.
- W3170266457 hasRelatedWork W2949754020 @default.
- W3170266457 hasRelatedWork W2966537100 @default.
- W3170266457 hasRelatedWork W3043275539 @default.
- W3170266457 hasRelatedWork W3081133759 @default.
- W3170266457 hasRelatedWork W3088243961 @default.
- W3170266457 hasRelatedWork W3102576642 @default.
- W3170266457 hasRelatedWork W3104599619 @default.
- W3170266457 hasRelatedWork W3124621246 @default.
- W3170266457 hasRelatedWork W3200037728 @default.
- W3170266457 isParatext "false" @default.
- W3170266457 isRetracted "false" @default.
- W3170266457 magId "3170266457" @default.
- W3170266457 workType "article" @default.